Random Survival Forests to Predict Disease Control for Hepatocellular Carcinoma Treated With Transarterial Chemoembolization Combined With Sorafenib

Objectives: To use baseline variables to predict one-year disease control for patients with hepatocellular carcinoma (HCC) treated with transarterial chemoembolization (TACE) combined with sorafenib as initial treatment by applying a machine learning approach based on the random survival forest (RF)...

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Bibliographic Details
Main Authors: Bin-Yan Zhong, Zhi-Ping Yan, Jun-Hui Sun, Lei Zhang, Zhong-Heng Hou, Xiao-Li Zhu, Ling Wen, Cai-Fang Ni
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-05-01
Series:Frontiers in Molecular Biosciences
Subjects:
Online Access:https://www.frontiersin.org/articles/10.3389/fmolb.2021.618050/full